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2141
Hybrid Deep-Learning Framework Based on Gaussian Fusion of Multiple Spatiotemporal Networks for Walking Gait Phase Recognition
Published 2020-01-01“…Human gait phase detection is a significance technology for robotics exoskeletons control and exercise rehabilitation therapy. …”
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2142
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2143
ROBOTISATION AND SERVICE AUTOMATION IN THE TOURISM AND HOSPITALITY SECTOR: A META-STUDY (1993-2024)
Published 2024-09-01“…Despite this growth, gaps remain in experimental robotics research and studies on data privacy, human-robot interactions, and financial viability. …”
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2144
Feature fusion-based collaborative learning for knowledge distillation
Published 2021-11-01“…Deep neural networks have achieved a great success in a variety of applications, such as self-driving cars and intelligent robotics. Meanwhile, knowledge distillation has received increasing attention as an effective model compression technique for training very efficient deep models. …”
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2145
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2146
Improving Monocular Depth Estimation Through Knowledge Distillation: Better Visual Quality and Efficiency
Published 2025-01-01Get full text
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2147
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2148
Management of calls and threats in digital economy of Russia
Published 2018-06-01“…Further the threats and calls connected with overcoming the fourth barrier, concerning perspective changes of labor market, the increasing role and influence of robotics are in more detail considered. Besides, increase of changes upon completion of which, by different estimates, tech-nologies of the Industry 4.0 will lead about 610 000 jobs to reduction is noted begun in the industry, under the influence of technological shift, but during the same period can also about 960 000 new vacancies will appear. …”
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2149
Precipitation 3D printing of all-aramid materials for high-strength, heat-resistant applications
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2150
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2151
A comprehensive assessment of a passive back support exoskeleton for load handling assistance
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2152
Engineering Classes as a Tool of Professional Navigation
Published 2019-01-01“…The training program includes lessons on mathematics, physics and computer sciences, reinforcing training of future entrants for getting higher engineering-technical education, as well as an elective part on solving applied engineering tasks from the following sections: electronics, robotics, mechatronics, 3D modeling, engineering graphics, and prototyping. …”
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2153
Compliance Control of a Cable-Driven Space Manipulator Based on Force–Position Hybrid Drive Mode
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2154
Cilia-Inspired Bionic Tactile E-Skin: Structure, Fabrication and Applications
Published 2024-12-01“…We also explore the applications of these systems across various fields, such as medical diagnostics, motion detection, human–machine interfaces, dexterous robotics, near-field communication, and perceptual decoupling systems. …”
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2155
Self‐Driving Lab for Solid‐Phase Extraction Process Optimization and Application to Nucleic Acid Purification
Published 2025-01-01“…Through the integration of robotics, machine learning, and data‐driven experimentation, the SDL demonstrates a highly accelerated process optimization with minimal human intervention. …”
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2156
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2157
Mean-Variance optimal portfolio selection integrated with support vector and fuzzy support vector machines
Published 2024-07-01Get full text
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2158
Reinforcement of Nanocellulose as Green Agent in the Electronic Applications Associated with the Composites of Polymer Matrix
Published 2023-01-01“…The stretchable electronic systems and instruments are awaiting the maximal attention due to its essential applications in certain domains, such as robotics artificial intelligence, brain control and machine interface, clinical devices, and health care electronic monitoring devices. …”
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2159
An integrated toolbox for creating neuromorphic edge applications
Published 2025-01-01“…We introduce CARLsim++ with a closed loop robotic demonstration using neuromorphic computing.…”
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2160
Increasing Neural-Based Pedestrian Detectors’ Robustness to Adversarial Patch Attacks Using Anomaly Localization
Published 2025-01-01“…Object detection in images is a fundamental component of many safety-critical systems, such as autonomous driving, video surveillance systems, and robotics. Adversarial patch attacks, being easily implemented in the real world, provide effective counteraction to object detection by state-of-the-art neural-based detectors. …”
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